Data Engineering Courses
Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.
Popular Data Engineering Courses and Certifications
Status: NewGoogle Cloud
Skills you'll gain: Vector Databases, Cloud Applications, Google Cloud Platform, Generative AI, Database Application, NoSQL, Cloud Development, Operational Databases, Database Software, Data Migration, Databases, Database Systems, Database Management Systems, Relational Databases, PostgreSQL, Database Management, Transaction Processing, Data Storage Technologies
Status: NewSkills you'll gain: Generative AI, Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Applications, Model Optimization, Serverless Computing, AI Integrations, Cloud Services, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Machine Learning Methods, Scalability
Status: NewSkills you'll gain: Model Deployment, Google Cloud Platform, Serverless Computing, Cloud Deployment, Generative AI, AI Enablement, Data Storage, Application Deployment, AI Integrations, Cloud Applications, Cloud Services, Model Optimization, Artificial Intelligence
Status: NewGoogle Cloud
Skills you'll gain: Generative AI, Prompt Engineering, Generative AI Agents, Large Language Modeling, Google Cloud Platform, LLM Application, Prompt Engineering Tools, Multimodal Prompts, Fine-tuning, Artificial Intelligence, Supervised Learning, Machine Learning
Status: NewGoogle Cloud
Skills you'll gain: Google Cloud Platform, Service Level, System Monitoring, Cloud Management, Continuous Monitoring, Application Performance Management, Data Import/Export, Identity and Access Management, Query Languages, Dashboard Creation, Data Access
Google Cloud
Skills you'll gain: AI Security, LLM Application, Large Language Modeling, Open Web Application Security Project (OWASP), Model Deployment, Security Controls, Security Software, Prompt Engineering, Google Cloud Platform, Integration Testing, Application Programming Interface (API), System Configuration
Google Cloud
Skills you'll gain: Gmail, Google Workspace, Issue Tracking, Help Desk Support, System Support, Technical Support, Technical Support and Services, Email Security, Data Access, Systems Administration
Status: NewGoogle Cloud
Skills you'll gain: Large Language Modeling, Prompt Engineering Tools, Prompt Engineering, Generative AI Agents, LLM Application, Generative AI, Generative Model Architectures, Multimodal Prompts, Artificial Intelligence, Google Cloud Platform, Health Technology, Supervised Learning, Machine Learning, Fine-tuning
Google Cloud
Skills you'll gain: Kubernetes, Google Gemini, Google Cloud Platform, Application Deployment, Cloud Deployment, Cloud-Native Computing, Cloud Infrastructure, Generative AI Agents, Prompt Engineering, Managed Services, Unix Shell
Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
In summary, here are 10 of our most popular data engineering courses
- 애플리케이션에 맞는 Google Cloud 데이터베이스 선택하기: Google Cloud
- Mendeploy dan Menskalakan Model AI dengan Cloud Run: Google Cloud
- KI-Modelle mit Cloud Run bereitstellen und skalieren: Google Cloud
- 医療分野向け生成 AI: Google Cloud
- Google Cloud의 로깅 및 모니터링: Google Cloud
- Model Armor：保護您部署的 AI 應用程式: Google Cloud
- Solução de problemas do Google Workspace: Google Cloud
- 面向医疗保健行业的生成式 AI: Google Cloud
- Gemini for Cloud Architects - 한국어: Google Cloud
- Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud
